132 physic PhD positions at Delft University of Technology

PhD position Thermo-physical properties of nuclear fuels for Molten Salt Reactors

future is a thorough understanding and assessment of the thermo-physical properties (e.g melting temperature, heat capacity, density, viscosity, thermal conductivity) of the molten fuel salt during reactor

PhD Position Physics Informed Machine Learning for Metamodeling Equipment Performance on Industrial Scale

simulation models and enriched by operational equipment performance data. To this end, physics informed machine learning techniques will be used to bring model data and real data together in a Digital Twin

PhD Position Satellite-derived Bathymetry using Physics-informed Machine Learning

Challenge: Generating realistic bathymetric maps at a large scale using satellite images and advanced machine learning methods. Change: Incorporating physics into satellite-derived bathymetry

PhD position on process analytical technology for synthetic co-cultures

bioprocesses still have. This effort includes quantifying the impact of various process routes as well as creating micro-organisms (or consortia thereof) that can deal with new feed stocks or produce more

PhD 3D Super-resolution microscopy

with companies in this area. We are looking for a candidate with a strong background in physics or in a physics related discipline. In particular, we want the candidate to have expertise in a branch of

PhD Position Enhanced Image Processing for Scattered Light Microscopy

complex fiber networks in the brain and other biological tissues. The position is in the group of Dr. Miriam Menzel, at the Department of Imaging Physics. The group works on scattered light microscopy

PhD Position Quantitative MRI

the Department of Imaging Physics (www.imphys.tudelft.nl ) of the Faculty of Applied Sciences. This department performs cuttingedge research spanning the range from understanding the basic principles underlying

PhD Networks of Care: The Architecture of Future Healthcare Environments

physical healthcare spaces, how can architecture help mediate and enhance the ethical dimensions of care, particularly concerning patient autonomy and consent in an increasingly monitored environment

PhD position DoAnt: Joint Development of Sparse Antenna Array Topology and High Resolution DoA Estimation

topologies (sampling problem) and angular estimation algorithms (estimation problem) is required, while considering the physical effects (EM problem). The novel idea in DoAnt is to develop an EM-driven

PhD Position AI for Ultrasound Localization Microscopy

the state of the art, one can rely on physics prior and latest AI techniques to accelerate ULM imaging in 3 dimensions. In this PhD project you will be embedded in a multidisciplinary collaboration